Several research efforts have been devoted to neural speaker embeddings as well. Modern speaker embeddings such as d-vectors [1]}, c-vectors [2]}, and x-vectors [3]} have shown to capture speaker discriminative characteristics very well. The x-vector model, for instance, is based on a Time Delay Neural Network (TDNN) and is now a fundamental component of the state-of-the-art diarization systems [4]}.
